Dynamic Sampling Rate Control for Power Utility Status Diagnosis
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Solution Overview
Problem
Conventional on-line status diagnosis devices for electric power utilities acquire degradation status data at a constant sampling rate, leading to a heavy communication and database load without considering the degree of importance or risk, which lowers processing efficiency.
Innovation Solution
The device and method differentiate sampling and data transmission rates based on the degree of importance of degradation status data, using a microcomputer to adjust the sampling rate and report frequency of the analog-digital converter, increasing rates for high-risk data and decreasing them for low-risk data, and optionally omitting transmission for negligible risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is acquired at a constant fast sampling rate, then measurement precision and reliability are improved, but communication load and database load increase, lowering processing efficiency
Solution Approach 1:
The patent applies dynamics by making the sampling rate adjustable rather than fixed. The microcomputer dynamically changes the sampling rate based on the importance level of detected degradation status, using fast sampling for critical parameters and slow sampling for non-critical parameters, thereby optimizing both measurement precision and processing efficiency
Solution Approach 2:
The patent implements local quality by differentiating sampling rates for different degradation status parameters. Instead of uniformly sampling all data at the same rate, the system assigns high sampling rates to important parameters (like those indicating immediate failure risks) and low sampling rates to less critical parameters, making each part of the data acquisition system have appropriate quality for its specific function
2Loss of information
If data transmission rate is increased for all degradation status data, then information availability is improved, but communication load increases, imposing heavy burden on communication devices and lines
Solution Approach 1:
The patent applies local quality by transmitting data at different rates depending on the importance of each degradation parameter. Critical parameters that indicate immediate failure risks are transmitted frequently and promptly, while non-critical parameters are transmitted less frequently, thereby maintaining information availability for important data while reducing overall communication data volume
Solution Approach 2:
The patent extracts only the necessary data for transmission by identifying and separating important degradation parameters from less important ones. Only the critical parameters requiring frequent monitoring and immediate attention are extracted for high-priority transmission, while other parameters are either transmitted less frequently or processed locally without transmission
3Reliability
If constant fast sampling is performed for all degradation status parameters, then reliability of status monitoring is improved, but device complexity and processing burden increase
Solution Approach 1:
The patent applies dynamics by implementing a dynamic sampling rate control mechanism where the microcomputer adjusts sampling rates based on the assessed importance of each degradation parameter. This dynamic approach maintains high reliability for critical monitoring while reducing processing burden for non-critical parameters, avoiding the need for uniformly complex fast sampling across all parameters
Data Source
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AI summary
The present invention is to provide an on-line status diagnosis device for an electric power utilities, in which sampling and data transmission rates are differentiated according to a degree of risk of degradation status data. The on-line status diagnosis device includes a sensor for providing a degradation detection signal of the electric power utilities, a data acquisition unit (DAU) for acquiring and providing degradation detection data, and a communication unit for transmitting the degradation detection data to the outside. The DAU includes an analog-digital converter for acquiring degradation detection data as digital data by converting the degradation detection signal from the sensor into a digital signal, and a microcomputer for determining a degree of risk by comparing the degradation detection data with at least one predetermined risk determination reference value, and outputting a control signal to the analog-digital converter to change a sampling rate and a report rate.